Ahmad Abdellatif's repositories
kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
hub-toolbox-python3
Hubness analysis and removal functions
spotlight
Deep recommender models using PyTorch.
regain
REGAIN (Regularised Graphical Inference)
pymfe
Python Meta-Feature Extractor package.
IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
healthcareai-py
Python tools for healthcare machine learning
Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
funk-svd
:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
pymc-learn
pymc-learn: Practical probabilistic machine learning in Python
scikit-garden
A garden for scikit-learn compatible trees
recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
stheno
Gaussian process modelling in Python
starboost
:star::rocket: Gradient boosting on steroids
scitime
Training time estimation for scikit-learn algorithms
schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
pyglmnet
Python implementation of elastic-net regularized generalized linear models
pyalcs
Implementation of Anticipatory Learning Classifiers System (ALCS) in Python
netharn
Parameterized fit and prediction harnesses for pytorch
ivis
Dimensionality reduction in very large datasets using Siamese Networks
ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
pytorch-wrapper
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
entropy
EntroPy: complexity of time-series in Python (DEPRECATED)
bert-embedding
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
pescador
Stochastic multi-stream sampling for iterative learning